Korolev N.A., Zhukovski Yu.L., Koteleva N.I. Bearing State Monitoring Device for an Asynchronous Motor by the Current and Voltage Park Vector Components

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Abstract

The article describes an approach to creating a monitoring device of the bearing state, as a node of an asynchronous motor subject to mechanical wear. Under the friction forces, the degradation of bearings proceeds more intensively compared to other electric machine components. The research object is an asynchronous motor of small and medium power up to 200 kW. The choice is due to the comparable cost of the bearing assembly with the electric machine. The registration accuracy of phase current and voltage instantaneous values was achieved by current and voltage sensors on the Hall effect of the compensation type with further digitization on a high-digit analog-to-digital converter. Changes in the bearing technical condition, in terms of degradation of the inner, outer rings or rolling elements, lead to deviation in the current hodograph. This changes both the trajectory and the width. Due to the complex analysis of the hodograph shapes and trajectories, artificial neural network (ANN) classifiers were used. The choice and training of the ANN-classifier was carried out in the course of laboratory studies on the bearing inner ring degradation. The degradation consisted in the artificial wear of the inner ring in the form of shells with different depths and sizes. Before passing the data through the ANN classifier, they were filtered and preprocessed according to the developed algorithm. The article presents an efficient way to enter data into the classifier. The result of the algorithm and method is the achieved 99% convergence and 98% accuracy on the experimental data.

Keywords

Induction motor, Park vector hodograph, current consumption, bearing defects, ANN classifier.

Nikolai A. Korolev Ph.D. (Engineering), Chief Specialist, Educational Research Center for Digital Technologies, Saint Petersburg Mining University, Saint Petersburg, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0002-0583-9695

Yuriy L. Zhukovski Ph.D. (Engineering), Associate Professor, Educational Research Center for Digital Technologies, Saint Petersburg Mining University, Saint Petersburg, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0003-0312-0019

Natalia I. Koteleva Ph.D. (Engineering), Associate Professor, Department of Technological Processes and Production Automation, Saint Petersburg Mining University, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0002-5970-4534

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Korolev N.A., Zhukovski Yu.L., Koteleva N.I. Bearing State Monitoring Device for an Asynchronous Motor by the Current and Voltage Park Vector Components. Elektrotekhnicheskie sistemy i kompleksy [Electrotechnical Systems and Complexes], 2022, no. 2(55), pp. 62-70. (In Russian). https://doi.org/10.18503/2311-8318-2022-2(55)-62-70

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